NVIDIA is looking for a passionate Software Engineer to join our Chip Design CAD team. In this role, you will experience the interesting junction of electrical and software engineering, when developing SW tools and solutions used to design the next generation Smart Adapters, Switches and GPUs for the advanced data centers across the world.
What you'll be doing
Develop innovative SW solutions
Improve existing tools, which are used in-house by electrical engineers for designing the next generation SoCs and Switches, or used internally in team to release and integrate deliveries to projects.
Collaborate with designers, verification specialists and architects to accomplish your tasks
What we need to see
Computer Science / Computer Engineering degree
2+ years or more years of practical experience
Motivated, responsive, and keen on process improvement
Strong analytical, debugging and problem-solving skills
Strong programming skills in Python or C++
Ways to stand out from the crowd
Knowledge with Linux
System Design: Ability to visualize software dependencies and design modular, scalable integration architectures.
Development Lifecycle: Familiarity with git (or other SCM), branching strategies, and release methodologies.
Experience in DA / CAD team
NVIDIA has some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our exclusive engineering teams are rapidly growing. If you're creative and hands-on with a real passion for technology, we want to hear from you.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
